Abstract: This paper presents a mechanism to predict solar irradiation energy using artificial neural networks. Solar energy has been at the forefront of renewable sources of energy since a long time now and has found applications in diverse fields. To develop a system completely dependent on solar energy, one needs a good estimate of the amount of solar irradiation that can be obtained. This is very challenging though due to the dependence of solar irradiation on several parameters such as seasonal changes, cloud cover, moisture. Statistical techniques ...
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Topics: 
Artificial intelligence
Meteorology